Many organizations are sitting on valuable proprietary data but lack a clear plan for commercializing it. As interest in ...

Data mining is a process that turns large volumes of raw data into actionable intelligence, and it's used by a wide variety ...

In principle, discovering new exoplanets is pretty easy. Simply measure the brightness of a star over time, and when a planet passes in front of the star, the brightness will dim slightly. The more ...

Al Toubi, K., Al Quraini, M. and Al Hubaishi, A. (2025) Oman Provisional Climate Normal Based on the Observation from 2010 to 2021. Atmospheric and Climate Sciences, 15, 816-840. doi: 10.4236/acs.2025 ...

Water scarcity in semiarid regions requires the efficient management of groundwater for population growth and regional development. Evaluating the flow rate variability and electrical conductivity (EC ...

Abstract: Seismic data interpolation is an important processing method for improving the quality of seismic data. Traditional interpolation methods often face limitations due to their dependence on ...

Privacy4Cars, a technology company that develops tools to protect data privacy and secure vehicle data for automotive businesses, recently received a new federal ...

The early stage pathogens of plant diseases have the characteristic of low concentration and difficult detection, which exacerbates the difficulty of tracing the disease, leading to rapid spread and ...

ABSTRACT: Hydrogeological modeling is an interesting and widely-used approach to improving our understanding of groundwater, both to test existing hypotheses on the behavior of hydrosystems and to ...

InterpolateR is one of the most efficient R packages for spatial interpolation. It leverages vectorized operations to maximize computational efficiency while maintaining high accuracy in interpolation ...